Description
Job Overview
We're seeking Staff+ Software Engineers to build AI products for various industries, including financial services, science, healthcare, and enterprise AI workflows. You'll be a technical leader, partnering with research, product, design, and go-to-market teams to deliver end-to-end customer experiences.
Responsibilities
- Own technical design and delivery for a core piece of one of these vertical or enterprise products, end-to-end across the stack
- Work closely with research to make models better in your domain , shaping evals, surfacing failure modes, and feeding customer learnings back into model development
- Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec
- Set technical direction and standards for your team , architecture, code quality, and how the team builds
- Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities
- Mentor other engineers and raise the technical bar across the team, working with influence rather than authority
Requirements
- 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
- Led the design and delivery of complex enterprise or B2B products across the full stack
- Built AI products and know what it takes to turn model capabilities into applications people actually use
- Comfortable working directly with enterprise customers and translating what you learn into technical decisions
- Built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
- Drive cross-team alignment to ship impactful work, with influence over authority
Nice to Have
- Experience working with research to improve domain-specific model capabilities, including evaluation frameworks
- Deep domain knowledge in one of these areas: investment banking, asset management, insurance, or corporate finance; scientific research or computational biology; clinical operations, health systems, or payers; or enterprise platform work
- Exposure to both product-led growth and direct enterprise sales
Logistics
- Annual Salary: $405,000-$485,000 USD
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/anthropic/jobs/5289450008